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Data Solutions Architect | AI

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Trace3
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview

Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate, Automate, Innovate.

Our culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it!

Trace3 is headquartered in Irvine, California. We employ more than 1,200 people all over the United States. Our major field office locations include Denver, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, Texas, San Francisco.

Ready to discover the possibilities that live in technology?

Come Join Us!

Street-Smart - Thriving in Dynamic Times

We are flexible and resilient in a fast-changing environment. We continuously innovate and drive constructive change while keeping a focus on the “big picture.” We exercise sound business judgment in making high-quality decisions in a timely and cost-effective manner. We are highly creative and can dig deep within ourselves to find positive solutions to different problems.

Juice - The “Stuff” it takes to be a Needle Mover

We get things done and drive results. We lead without a title, empowering others through a can-do attitude. We look forward to the goal, mentally mapping out every checkpoint on the pathway to success, and visualizing what the final destination looks and feels like.

Teamwork - Humble, Hungry and Smart

We are humble individuals who understand how our job impacts the company's mission. We treat others with respect, admit mistakes, give credit where it’s due and demonstrate transparency. We “bring the weather” by exhibiting positive leadership and solution-focused thinking. We hug people in their trials, struggles, and failures – not just their success. We appreciate the individuality of the people around us.

What

You’ll Do

As a Data Solutions Architect, you will own the end-to-end lifecycle of technical proof work across the Data and Experiences BU. Your work will directly support Practice Directors, field SAs, and the Delivery Organization across the Intelligent Enterprise, Consumer Experiences, and Data and Analytics practices.

Pre-Sales and Client-Facing Technical Work

You will design, build, and present client-facing proofs of concept (POCs) and proofs of value (POVs) that demonstrate Trace3’s technical differentiation. These are not vendor-provided sandbox logins or generic demos. They are live, configured, Trace3-branded environments built on the client’s data, the client’s workflows, and the client’s integration points. You will own the scoping, architecture, build, and presentation of these assets.

You will lead AI capability demonstrations across the BU’s core technology plays, including agentic AI architectures, retrieval-augmented generation (RAG) systems, multimodal AI pipelines, MLOps platforms, and AI-native data and analytics stacks. You will be the person in the room who can answer the question “can you show me that working?” with a yes – and then show it.

You will partner with Practice Directors and field SAs during active sales pursuits to define POC success criteria, scope minimum viable architectures, and ensure that every proof of concept is designed to answer a specific technical question – not to impress, but to advance the deal.

AI Innovation and Capability Development

You will be a visible, opinionated AI forward thinker within the BU. You will track emerging AI capabilities across the vendor ecosystem, evaluate their relevance to Trace3’s client base, and translate that evaluation into actionable technical assets: working prototypes, architecture reference guides, and intake recommendations for the Accelerators build pipeline.

You will build reusable AI accelerator assets – prompt libraries, agent frameworks, RAG pipeline templates, evaluation harnesses, and fine-tuning playbooks – that reduce the time required to stand up AI capabilities from scratch on client engagements. You will not build these assets in isolation; you will build them…

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